Version 1
: Received: 30 April 2024 / Approved: 13 May 2024 / Online: 13 May 2024 (13:14:44 CEST)
How to cite:
Piccoli, A.; Agresti, V.; Lonati, G.; Pirovano, G. Development and Evaluation of the Online Hybrid Model CAMx-LPiG. Preprints2024, 2024050858. https://doi.org/10.20944/preprints202405.0858.v1
Piccoli, A.; Agresti, V.; Lonati, G.; Pirovano, G. Development and Evaluation of the Online Hybrid Model CAMx-LPiG. Preprints 2024, 2024050858. https://doi.org/10.20944/preprints202405.0858.v1
Piccoli, A.; Agresti, V.; Lonati, G.; Pirovano, G. Development and Evaluation of the Online Hybrid Model CAMx-LPiG. Preprints2024, 2024050858. https://doi.org/10.20944/preprints202405.0858.v1
APA Style
Piccoli, A., Agresti, V., Lonati, G., & Pirovano, G. (2024). Development and Evaluation of the Online Hybrid Model CAMx-LPiG. Preprints. https://doi.org/10.20944/preprints202405.0858.v1
Chicago/Turabian Style
Piccoli, A., Giovanni Lonati and Guido Pirovano. 2024 "Development and Evaluation of the Online Hybrid Model CAMx-LPiG" Preprints. https://doi.org/10.20944/preprints202405.0858.v1
Abstract
CAMx-LPiG (Comprehensive Air Quality Model with Extensions – Linear Plume in Grid) is an online hybrid model, based on the Chemistry and Transport Model (CTM) CAMx, that includes a sub-grid scale module to simulate the dispersion of linear road traffic emissions, called LPiG. LPiG is a plume in grid module specifically developed by extending the capabilities of the Lagrangian puff sub-grid model available in CAMx. The online integration of the local scale model within the Eulerian CTM allows for a multiscale simulation of air quality from the regional scale to the urban scale, preserving a coherent description of the chemical state of the atmosphere at all spatial scales and avoiding any double counting of the emissions simulated by the sub-grid module. In this work the model is presented and evaluated against measured NO2 concentrations for the city of Milan for the month of January 2017. The model is able to introduce road traffic induced gradient in NO2 concentration at sub-grid resolution. Moreover, CAMx-LPiG is shown to reduce the bias compared to CAMx stand-alone simulations.
Keywords
Air Quality, Hybrid modelling, Road Traffic, Plume in Grid, CAMx, Urban Air Quality
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.